Internal university labor market: problem, inevitability or expediency? by S. V. Orekhova, O. M. Nikitina

“…The specificity of the business model of the university is due to the multifunctionality of its target efficiency, the complexity of the hierarchy, and the special characteristics of the goods. …”
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A development framework for decision support systems in high-performance sport by Schelling Xavier, Robertson Sam

“…It proposes three separate criteria for this purpose: 1) Context Satisfaction, 2) Output Quality, and 3) Process Efficiency. Underpinning these criteria there are six specific components: Feasibility, Delivered knowledge, Decisional guidance, Data quality, System error, and System complexity. …”
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Expert assessment of the effectiveness of measures to improve working conditions in foundries by A. M. Lazarenkov, M. A. Sadokha, T. P. Kot

“…The technique has shown its high efficiency in choosing the optimal placement of equipment.…”
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Network-based intrusion detection using deep learning technique by Muhammad Farhan, Hafiz Waheed ud din, Saadat Ullah, Muhammad Sajjad Hussain, Muhammad Amir Khan, Tehseen Mazhar, Umar Farooq Khattak, Ines Hilali Jaghdam

“…Abstract A high growth rate in network traffic and the complexity of cyber threats have made it necessary to create more effective and flexible intrusion detection systems. …”
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5G-Practical Byzantine Fault Tolerance: An Improved PBFT Consensus Algorithm for the 5G Network by Xin Liu, Xing Fan, Baoning Niu, Xianrong Zheng

“…The model dynamically selected consensus nodes based on the reputation value to ensure the reliability of the consensus node selection. …”
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UAV Trajectory Control and Power Optimization for Low-Latency C-V2X Communications in a Federated Learning Environment by Xavier Fernando, Abhishek Gupta

“…This paper investigates the system performance and communication disruption between vehicles and UAV due to Doppler effect in the orthogonal time–frequency space (OTFS) modulated channel. Moreover, a low-complexity UAV trajectory prediction and vehicle selection method is proposed using federated learning, which exploits related information from past trajectories. …”
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Leaching of copper slags in sulphuric acid and alkaline glycine media by Mauricio Mura, Ignacio Castillo, Pía C. Hernández, Felipe M. Galleguillos Madrid, Eleazar Salinas-Rodríguez, Jonathan Castillo, Álvaro Soliz, Edelmira Gálvez, Norman Toro

“…The operating parameters such as concentration, temperature, particle size are compared in these leaching media, highlighting glycine with high selectivity and efficiency unlike sulfuric acid in alkaline conditions to leach copper. …”
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Load balancing based on clustering analysis and deep learning for multi-frequency and multi-mode network by Yaxing QIU, Xidong WANG, Sen BIAN, Lei YUE

“…Load balancing is a huge challenge for LTE multi-frequency and multi-mode network.Hundreds of parameters are involved in load balancing for the complex network structure.Therefore,it is difficult to perform precise and meticulous configuration only relying on human experience.In order to cope with the challenge,a load balancing scheme based on clustering analysis and deep learning was proposed.Firstly,the key indicators were selected to identify the network scenes,and then big data and deep learning technologies were used to mine the relationship between data.Finally,the optimum system parameters for different network scenes were found.It has been proved that machine learning technology can greatly improve the accuracy and the efficiency of parameter configuration.…”
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ECONOMIC EVALUATION OF THE EFFECT OF THE APPLICATION OF BIOSTIMULANTS ON SPRING RAPE AND OATS by Angel SAROV, Krasimir KOSTENAROV

“…In a methodological aspect, linear modeling is applied in order to optimize the production structure of a selected agricultural holding. It is concluded that biostimulants have a positive effect on yield and biometrics of treated crops, but the complex economic effect on farm profit is organic.…”
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Fluorescent robust photoactuator via photo-crosslinking induced single-layered janus polyimide by Shuyu Xue, Zhipanxin Shi, Zaiyu Wang, Haozhe Tan, Feng Gao, Zicong Zhang, Ziyue Ye, Shifeng Nian, Ting Han, Jianbo Zhang, Zheng Zhao, Ben Zhong Tang, Qiuyu Zhang

“…Abstract Advanced smart polymer materials with the ability of reversible deformation under external stimuli hold great potential in robotics, soft machines, and flexible electronics. However, the complexity and low efficiency for fabricating actuators along with their limited functionality hinder further progress. …”
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Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering by Fahad Razaque Mughal, Jingsha He, Bhagwan Das, Fayaz Ali Dharejo, Nafei Zhu, Surbhi Bhatia Khan, Saeed Alzahrani

“…However, one of the major challenges in such environments is the efficient selection of edge nodes and the optimization of resource allocation, especially in dynamic and resource-constrained settings. …”
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Prospects for 3D Bioprinting Research and Transdisciplinary Application to Preclinical Animal Models by HU Min, DONG Lexuan, GAO Yi, XI Ziqi, SHEN Zihao, TANG Ruiyang, LUAN Xin, TANG Min, ZHANG Weidong

“…It starts by detailing the essential elements of 3D bioprinting, including the selection and functional design of biomaterials, along with an explanation of the principles and characteristics of various printing strategies, highlighting the advantages in constructing complex multicellular spatial structures, regulating microenvironments, and guiding cell fate. …”
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Tuberculous abdominal aortic aneurysm: Management and outcomes by Sree Vani Paladugu, MS, Ajay Savlania, MCh, Gokulkrishnan Hari, MS, Tanuj Singla, MS, Shreyas Srinivasan, MBBS, Ujjwal Gorsi, DM, Mustafa Razi, MD, Pradeep Burli, MD, Prem Chand Gupta, MS

“…Patient status at presentation, the complexity of surgical reconstruction, and the possibility of performing efficient surgical debridement influence the selection of various therapeutic strategies. …”
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HRT-Net: A Cell-free Cooperative Sensing Method Based on Attention-weighted Hierarchical Network by Shengheng LIU, He YAN, Xingkang LI, Dazhuan XU, Dongming WANG, Yongming HUANG

“…HRT-Net is designed to enhance multi-station collaborative sensing problems for Dual-Functional Radar-Communication (DFRC) systems, offering accurate and resource-efficient target location estimation. First, the sensing area is divided into sub-regions and a lightweight region selection network employing depthwise separable convolution; this approach coarsely identifies the target’s sub-region, reducing computational demands and enabling extensive area coverage. …”
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SODU2-NET: a novel deep learning-based approach for salient object detection utilizing U-NET by Hyder Abbas, Shen Bing Ren, Muhammad Asim, Syeda Iqra Hassan, Ahmed A. Abd El-Latif

“…Secondly the block includes an attention module that refines the decoder, is constructed to enhances the detection of salient objects in complex backgrounds by selectively focusing attention on relevant features. …”
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Remote Sensing Image Compression via Wavelet-Guided Local Structure Decoupling and Channel–Spatial State Modeling by Jiahui Liu, Lili Zhang, Xianjun Wang

“…As the resolution and data volume of remote sensing imagery continue to grow, achieving efficient compression without sacrificing reconstruction quality remains a major challenge, given that traditional handcrafted codecs often fail to balance rate-distortion performance and computational complexity, while deep learning-based approaches offer superior representational capacity. …”
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Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System. by Vessela Krasteva, Irena Jekova, Remo Leber, Ramun Schmid, Roger Abächerli

“…Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a predominant normal (reference) beat template. …”
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Red-KPLS Feature Reduction with 1D-ResNet50: Deep Learning Approach for Multiclass Alzheimer’s Staging by Syrine Neffati, Ameni Filali, Kawther Mekki, Kais Bouzrara

“…This study introduces a computationally efficient AI framework designed to enhance AD staging using structural MRI. …”
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Higher performance enhancement of direct torque control by using Space Vector Modulation for doubly fed induction machine by Gouaamar Radouan, El Fadl Adiba, Bri Seddik, Mekrini Zineb

“…A comprehensive study comparing the performance of these speed control within DTC framework is carried out with a detailed insight to important metrics such as dynamic response, reference tracking, torque ripple content involved and complexity among others. This study discusses the pros and cons of all mentioned methods, which helps in better understanding for optimal speed control selection to improve DFIM performance at different operating conditions. …”
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An Effective Off-Grid DOA Estimation Algorithm Using Difference Coarrays with Limited Snapshots by Yanan Ma, Jian Wang, Lu Cao, Pengyu Guo, Guangteng Fan

“…Moreover, most existing DOA estimation techniques exhibit a high computational complexity, limiting their practical implementation in real-time systems. …”
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